The Pearson correlation coefficient with the bias-corrected and accelerated

boostrap confidence interval

Described in Chapter 7 "The rxc Table"

Pearson_correlation_coefficient_rxc_bca(
  n,
  nboot = 10000,
  a = seq_len(nrow(n)),
  b = seq_len(ncol(n)),
  alpha = 0.05
)

Arguments

n: the observed table (an rxc matrix)
nboot: number of bootstrap samples
a: scores assigned to the rows
b: scores assigned to the columns
alpha: the nominal significance level, used to compute a 100(1-alpha) confidence interval

Value

An object of the contingencytables_result class, basically a subclass of base::list(). Use the utils::str() function to see the specific elements returned.

Examples

set.seed(3509)
Pearson_correlation_coefficient_rxc_bca(table_7.7, nboot = 800)
#> The Pearson correlation w / BCa bootstrap CI: r = -0.1020 (95% CI -0.1752 to -0.0395)
Pearson_correlation_coefficient_rxc_bca(table_7.8, nboot = 200)
#> The Pearson correlation w / BCa bootstrap CI: r =  0.5710 (95% CI  0.4790 to  0.6798)
if (FALSE) { # \dontrun{
  Pearson_correlation_coefficient_rxc_bca(table_7.9)
} # }